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Found 5 papers, 5 papers with code
MART: MultiscAle Relational Transformer Networks for Multi-agent Trajectory Prediction
MART is a hypergraph transformer architecture to consider individual and group behaviors in transformer machinery.
VITA: 'Carefully Chosen and Weighted Less' Is Better in Medication Recommendation
While there exist a number of recommender systems designed for this problem, we point out that they are challenged in accurately capturing the relation (spec., the degree of relevance) between the current and each of the past visits for the patient when obtaining her current health status, which is the basis for recommending medications.
MONET: Modality-Embracing Graph Convolutional Network and Target-Aware Attention for Multimedia Recommendation
In this paper, we focus on multimedia recommender systems using graph convolutional networks (GCNs) where the multimodal features as well as user-item interactions are employed together.
Phishing URL Detection: A Network-based Approach Robust to Evasion
Many cyberattacks start with disseminating phishing URLs.
Linear, or Non-Linear, That is the Question!
To our knowledge, we are the first who design a hybrid method and report the correlation between the graph centrality and the linearity/non-linearity of nodes.
